Official tech channel of 58, a platform for tech innovation, sharing, and communication.
This article examines the QiaoFang SaaS platform’s multi‑tenant database architecture, tenant data governance, multi‑partition service design, and operational practices such as database operations, cleanup, and monitoring, highlighting the challenges and solutions for large‑scale real‑estate brokerage services.
This article introduces the Astro static‑site framework, explains its island architecture and performance advantages, compares Core Web Vitals with other frameworks, and provides detailed code examples and best‑practice guidelines for integrating Astro with React and Vue in real‑world projects.
This article describes how a commercial search platform iteratively upgrades its system by structuring business knowledge into a knowledge graph, applying multi‑stage entity extraction (CRF, Electra‑CRF, GLM‑3, OCR), and leveraging large language models to improve relevance, user experience, and revenue.
This article details the architecture, core component design, and implementation techniques of 58.com’s invitation business system, covering background, technical challenges, modular backend design, event‑driven services, rule‑engine filtering, protocol conversion, and process orchestration to improve scalability, efficiency, and reusability.
In this article, 58.com AI Lab senior director Zhan Kunlin explains how the company built a multi‑layer AI platform, created a vertical large‑language model called LingXi, and developed an AI Agent system with RAG capabilities to accelerate practical AI applications across various business scenarios.
This technical report details the background, architecture, construction, core issues, migration plans, and future roadmap of moving 58's HBase clusters to a cloud‑native environment, highlighting cost reduction, operational automation, and performance optimizations.
This article systematically analyzes popular parameter‑efficient fine‑tuning (PEFT) techniques for large language models—including Adapter Tuning, Prefix Tuning, LoRA, QLoRA, AdaLoRA, and SoRA—detailing their principles, implementation code, experimental results on NLU tasks, and practical acceleration using the Unsloth library.
This article presents an in‑depth overview of the Luban full‑stack low‑code development platform, describing its goals, architecture, metadata design, drag‑and‑drop page creation, data visualization, API generation, multi‑tenant and multi‑environment support, version management, and real‑world case studies that demonstrate its efficiency and extensibility.
This document details the motivation, technology selection, overall architecture, data‑plane and control‑plane design, key implementation challenges such as HTTPS interception, precise URL monitoring, and plugin extensibility, and outlines future directions for scaling service mesh within the organization.
This article presents a comprehensive technical overview of the BKD-Tree data structure, detailing its algorithmic foundations, construction and query processes, dynamic update mechanisms, and the space‑efficient compression techniques used in production search engines for massive multidimensional numeric datasets.
